What leads to severe multi-vehicle crashes on mountainous expressways in Western China?

被引:4
作者
Wang, Y. [1 ]
Wang, L. [1 ]
Sun, L. [1 ]
机构
[1] Chngan Univ, Coll Transportat Engn, South 2 Ring Rd, Xian 710064, Peoples R China
关键词
multiple- vehicle crash; mountain expressway; risk factor; partially constrained generalised ordered logit model; elasticity analysis; INJURY SEVERITY; TRUCK CRASHES; HIGHWAYS; MODELS; SINGLE;
D O I
10.17159/2309-8775/2022/v64no1a6
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper investigates the occurrence and severity of collisions involving multiple vehicles on mountain expressways (MMEs) in Western China. A total of 1 521 crash samples occurring on one typical mountain expressway in Shaanxi, China, between 2012 and 2017, were analysed through a partially constrained generalised ordered logit to identify the significant risk factors contributing to the severity of such crashes. Elasticity analysis was performed to quantify the effects of each independent explanatory variable on the collision severity outcomes. Fourteen total explanatory variables were found to have a significant and pronounced influence on the likelihood of MME crashes. These include the type of collision, the at-fault driver's age, driving while fatigued, cell phone use while driving, alcohol-impaired driving, speeding, risky following and dangerous overtaking behaviour, sharp curves in the roadway and slippery pavement conditions, seasons, day of the week, time of day, and adverse weather (rain/snow/fog). The impacts of the variables on the collision severity were also explored. Taken together, the findings may serve as a useful guide for developing legislation and technical countermeasures to ensure traffic safety on mountain expressways in Western China.
引用
收藏
页码:63 / 70
页数:8
相关论文
共 26 条
[1]   Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes [J].
Behnood, Ali ;
Mannering, Fred .
ANALYTIC METHODS IN ACCIDENT RESEARCH, 2019, 23
[2]   Risk factors of road accident severity and the development of a new system for prevention: New insights from China [J].
Benlagha, Noureddine ;
Charfeddine, Lanouar .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 136
[3]   Measurement of free-flow conditions on multilane intercity highways under heterogeneous traffic conditions [J].
Boora, A. ;
Ghosh, I. ;
Chandra, S. ;
Rani, K. .
JOURNAL OF THE SOUTH AFRICAN INSTITUTION OF CIVIL ENGINEERING, 2018, 60 (01) :2-9
[4]   Exploring background risk factors for fatigue crashes involving truck drivers on regional roadway networks: a case control study in Jiangxi and Shaanxi, China [J].
Chen, Changkun ;
Zhang, Jun .
SPRINGERPLUS, 2016, 5 :1-12
[5]   Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model [J].
Dong, Bowen ;
Ma, Xiaoxiang ;
Chen, Feng ;
Chen, Suren .
JOURNAL OF ADVANCED TRANSPORTATION, 2018,
[6]   Factors affecting injury severity of single-vehicle rollover crashes in the United States [J].
Khan, Ihsan Ullah ;
Vachal, Kimberly .
TRAFFIC INJURY PREVENTION, 2020, 21 (01) :66-71
[7]   Correlated Random-Effects Bivariate Poisson Lognormal Model to Study Single-Vehicle and Multivehicle Crashes [J].
Ma, Xiaoxiang ;
Chen, Suren ;
Chen, Feng .
JOURNAL OF TRANSPORTATION ENGINEERING, 2016, 142 (11)
[8]   Estimation of Crash Severity on Mountainous Freeways in Chongqing [J].
Meng, Yunwei .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
[9]  
National Bureau of Statistics of China, 2019, CHIN STAT YB
[10]  
PETERSON B, 1990, J R STAT SOC C-APPL, V39, P205